#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
# 
#   http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------

# Intended to solve cubic natural spline, using R, in order to compare against the DML implementation
# INPUT 1: Matrix X [rows, 1]
# INPUT 2: Matrix Y [rows, 1]
# OUTPUT : 1x1 matrix of value of the interpolated y for given input x
#
# Assume that $CSPLINE_HOME is set to the home of the R script
# Assume input and output directories are $CSPLINE_HOME/in/ and $CSPLINE_HOME/expected/
# Rscript $CSPLINE_HOME/CsplineDs.R $CSPLINE_HOME/in/X.mtx $CSPLINE_HOME/in/Y.mtx 4.5 $CSPLINE_HOME/expected/y.mtx

args <- commandArgs (TRUE);

library ("Matrix");

X_here <- readMM (args[1]);  # (paste (args[1], "X.mtx", sep=""));
Y_here <- readMM (args[2]);  # (paste (args[2], "Y.mtx", sep=""));
inp_x <- args[3]
pred_y_here <- args[4]

X_matrix = as.matrix (X_here);
Y_matrix = as.matrix (Y_here);

sf<-splinefun(X_matrix, Y_matrix, method="natural")
pred_y = sf(inp_x)

print(paste("For inp_x = ", inp_x, " Calculated y = ", pred_y))

writeMM(as(pred_y, "CsparseMatrix") , pred_y_here);


